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An Interaction Protocol for Mutual Assistance in Agent Teamwork

机译:代理团队合作中互助的交互协议

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摘要

This paper proposes and explores an interaction protocol for incorporating helpful behavior into agent teamwork. In the proposed Mutual Assistance Protocol (MAP), an agent can directly assist a teammate who requests help, provided that the two agents jointly determine, based on their individual beliefs, that the expected outcome of the help act is in the interest of the team. This distributed decision is reached through a bidding sequence similar to the one in the Contract Net Protocol. The deliberation about help is approximate in that each agent only assesses the team impact of the change to its own individual plan. The paper introduces two versions of the protocol: Action MAP, in which the helper performs an action within a teammate's individual plan, and Resource MAP, in which one or more helpers provide resources to a teammate. Both versions include refinements for the handling of simultaneous help requests. A cooperative game simulation demonstrates the advantages of Action MAP over action help protocols that use unilateral decision mechanisms, and over teamwork scenarios without help. The experiments show how the team performance depends on: the teammates' mutual awareness of each other's abilities, dynamic disturbance in the environment, communication costs, and computation costs.
机译:本文提出并探讨了将有用行为纳入代理团队合作的交互协议。在拟议的互助议定书(MAP)中,代理人可以直接协助履行帮助的队友,因为这两个代理人根据自己的个人信仰共同确定,帮助行动的预期结果是团队的利益。通过类似于合同网络协议中的竞标序列来达到该分布式决定。关于帮助的审议是近似的,因为每个代理只评估对自己个人计划的变革的影响。本文介绍了两个版本的协议:行动映射,其中助手在队友的单个计划中执行动作,其中一个或多个帮助者为队友提供资源。两个版本都包括处理同时帮助请求的细化。合作游戏模拟展示了行动地图过度使用单方面决策机制的协议,以及在没有帮助的情况下的团队合作方案的帮助。实验表明,团队表现如何取决于:队友对彼此的相互意识,环境中的动态干扰,通信成本和计算成本。

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